this post was submitted on 17 Aug 2025
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[–] protist@mander.xyz 8 points 4 weeks ago* (last edited 4 weeks ago) (2 children)

Yes, it means could be the same, not are the same. It does mean they are confident (95% confident, I assume, I'm not clicking through to the study) that the rates are different for men and women in Gen X

[–] Zagorath@aussie.zone 1 points 4 weeks ago (1 children)

It does mean they are confident that the rates are different for men and women in Gen X

Umm, surely not? If the confidence intervals overlap it means that they are not confident that the rates are different, doesn't it? Of course, it also does not mean that they can say they are confident that the reading rates are the same.

So the statistically sound way of saying it is that the null hypothesis is that reading rates are the same, and their study has failed to reject the null hypothesis.

[–] protist@mander.xyz 6 points 4 weeks ago (1 children)

Gen X is the only category for which the CIs don't overlap at all

[–] Zagorath@aussie.zone 3 points 4 weeks ago

Oh right I see, sorry.

[–] cabb@lemmy.dbzer0.com 1 points 4 weeks ago* (last edited 4 weeks ago)

If you want to be precise, overlapping intervals mean that we lack evidence to assert that the means are statistically different for our chosen confidence level. This is often simplified to the statement that they are statistically the same.